A review of wind turbine bearing condition monitoring: State of the art and challenges

Azevedo, Henrique Dias Machado de; Araújo, Alex Maurício; Bouchonneau, Nadège

doi:10.1016/j.rser.2015.11.032

Cited by 275 publications

(147 citation statements)

References 68 publications

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“…Based on expert assessment and preliminary studies [38,[44][45][46], the analogical operating variables of the wind turbines considered for creating the temperature model of the NDE bearing [47] in the generator are shown in Table 1. The sample consists of the training data set and the detection data set.…”

Section: Parameter Description and Treatmentmentioning

confidence: 99%

Methodology for Detecting Malfunctions and Evaluating the Maintenance Effectiveness in Wind Turbine Generator Bearings Using Generic versus Specific Models from SCADA Data

et al. 2018

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This article offers reasons to defend the use of generic behavior models as opposed to specific models in applications to determine component degradation. The term generic models refers to models based on operating data from various units, whereas specific models are calculated using operating data taken from a single unit. Moreover, generic models, used in combination with a status indicator, show excellent capacity for detecting anomalies in the equipment and for evaluating the effectiveness of the maintenance actions, resulting in lower development and maintenance costs for the operating firm. Artificial neural networks and moving means were used to calculate the degradation indicators, based on the remainders in the model. The models were developed from operating data from fourteen wind turbines monitored over several years, and applied to the detection of faults in the bearings on the non-drive end of the generator. The use of generic models may not be recommendable for detecting faults in all cases, and the suitability will depend greatly on the context of the methodology developed to detect each type of fault, according to the element causing the fault and the fault mode, since each methodology requires a greater or lesser degree of precision in the model.

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Section: Parameter Description and Treatmentmentioning

confidence: 99%

Methodology for Detecting Malfunctions and Evaluating the Maintenance Effectiveness in Wind Turbine Generator Bearings Using Generic versus Specific Models from SCADA Data

et al. 2018

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“…This is the most known CM method, which allows detection of various types of failures. As discussed in recent review papers, the application areas for the vibration based CM are ranging from structural engineering (Carden and Fanning 2004) and wind turbines (Hameed et al 2009;Kusiak et al 2013;De Azevedo et al 2016) to diagnostics of electrical motors (Nandi et al 2005) and gearboxes (Lei et al 2014;Li et al 2016), monitoring of rolling bearings (El-Thalji and Jantunen 2015) and tool condition monitoring in drilling and cutting operations (Rehorn et al 2005); • Acoustic based CM that detects and analyses the elastic waves generated by rapidly released energy from local events, such as cracks, impacts, leaks, and similar events (Li 2002;Kusiak et al 2013;Yan et al 2015;De Azevedo et al 2016); • Monitoring of electrical effects. This technique is typically performed for monitoring of electrical equipment, such as generators, motors, etc.…”

Section: Condition Monitoringmentioning

confidence: 99%

“…This type of CM is mostly performed off line. The oil samples are analysed in the laboratory for presence of wear debris, viscous properties and particles' count and shapes (El-Thalji and Jantunen 2015; Phillips et al 2015;De Azevedo et al 2016); • Thermography. This technique allows for identification of failed components based on their thermal images.…”

Section: Condition Monitoringmentioning

confidence: 99%

Computational monitoring in real time: review of methods and applications

Dyskin

Başarır

Doherty

et al. 2018

Geomech. Geophys. Geo-energ. Geo-resour.

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Continuous monitoring of mechanical parameters determining the state of natural and manmade systems is essential in a wide range of engineering disciplines from mechanical to civil and geotechnical engineering. To be effective, the monitoring response time needs to be commensurate with the characteristic time of variation of the processes being monitored e.g. from seconds as for example in some machinery, to weeks and months for mining excavations and years in the case of structures. The methods of measurement can therefore differ significantly for different applications. In spite of this, the methods of information processing-the computational monitoring-have considerable commonality. This review focuses on the methods of computational monitoring in solid and structural mechanics problems in different engineering applications. The traditional methods of monitoring are reviewed along with the corresponding computational and measurement methods. The basic principles of the computational monitoring in real time are established.

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“…As shown in Fig. 1, a DD-WT is typically composed of blades, a hub, a generator, power converters, a pitch system, a tower, a yaw system, and an auxiliary hanger [5]. A low-speed PMSG is utilized in a DD-WT [6][7].…”

Section: Introductionmentioning

confidence: 99%

Overview of condition monitoring and operation control of electric power conversion systems in direct-drive wind turbines under faults

Huang

Xiao

et al. 2017

Front. Mech. Eng.

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Electric power conversion system (EPCS), which consists of a generator and power converter, is one of the most important subsystems in a direct-drive wind turbine (DD-WT). However, this component accounts for the most failures (approximately 60% of the total number) in the entire DD-WT system according to statistical data. To improve the reliability of EPCSs and reduce the operation and maintenance cost of DD-WTs, numerous researchers have studied condition monitoring (CM) and fault diagnostics (FD). Numerous CM and FD techniques, which have respective advantages and disadvantages, have emerged. This paper provides an overview of the CM, FD, and operation control of EPCSs in DD-WTs under faults. After introducing the functional principle and structure of EPCS, this survey discusses the common failures in wind generators and power converters; briefly reviewed CM and FD methods and operation control of these generators and power converters under faults; and discussed the grid voltage faults related to EPCSs in DD-WTs. These theories and their related technical concepts are systematically discussed. Finally, predicted development trends are presented. The paper provides a valuable reference for developing service quality evaluation methods and fault operation control systems to achieve high-performance and high-intelligence DD-WTs.

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A review of wind turbine bearing condition monitoring: State of the art and challenges

Cited by 275 publications

References 68 publications

Methodology for Detecting Malfunctions and Evaluating the Maintenance Effectiveness in Wind Turbine Generator Bearings Using Generic versus Specific Models from SCADA Data

Methodology for Detecting Malfunctions and Evaluating the Maintenance Effectiveness in Wind Turbine Generator Bearings Using Generic versus Specific Models from SCADA Data

Computational monitoring in real time: review of methods and applications

Overview of condition monitoring and operation control of electric power conversion systems in direct-drive wind turbines under faults

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